Literature DB >> 33337353

Diagnostic value of real-time shear wave elastography in children with chronic kidney disease.

Qin Liu1, Zhengrong Wang1.   

Abstract

OBJECTIVE: To evaluate the diagnostic value of real-time shear wave elastography (SWE) in children with chronic kidney disease (CKD).
METHODS: Children with CKD diagnosed by the ultrasound-guided biopsy between January 2018 and May 2019 were enrolled as the case group. Age- and sex- matched healthy children were selected as the control group. The Young's Modulus (YM) of the renal cortex was measured by SWE after the traditional ultrasound examination. Variance analysis was performed to compare the values of YM between the two groups. Receiver operating characteristic curve (ROC) analysis was used to compare the values of YM, and explore the cut-offs of the YM.
RESULTS: In the case group (n = 60, 45% male, mean age of 9.2 years), the kidney YM modulus on the left side (16.8±4.8 kPa vs. 8.3±2.1 kPa) and the right side (16.0±4.7 kPa vs. 8.3±2.4 kPa) were both higher than the control group (all P values < 0.001). With the progress of CKD, the YM value of the left and right kidneys gradually increased. ROC analysis showed that when the left and right kidney YM value was 11.7 kPa and 11.0 kPa, the diagnostic sensitivity and specificity were the highest (left: respectively 93.3% and 95.0%; right: respectively 93.3 % and 91.7%).
CONCLUSION: The increase of YM in CKD is related to the progression of renal dysfunction which may provide a new method for early diagnosis of CKD, dynamic monitoring of disease progression, and evaluation of curative effect and prognosis.

Entities:  

Keywords:  Shear wave elastography; children; chronic kidney disease

Year:  2021        PMID: 33337353     DOI: 10.3233/CH-200982

Source DB:  PubMed          Journal:  Clin Hemorheol Microcirc        ISSN: 1386-0291            Impact factor:   2.375


  1 in total

1.  Shear Wave Elastography in the Evaluation of Renal Parenchymal Stiffness in Patients With Chronic Kidney Disease: A Meta-Analysis.

Authors:  Xian Ling Mo; Hui Yan Meng; Yan Yan Wu; Xue Yan Wei; Zong Ke Li; Su Qin Yang
Journal:  J Clin Med Res       Date:  2022-02-24
  1 in total

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